Development of an integrated fatigue measurement system for construction workers: a feasibility study

Author:

Seong Sojeong,Park Soyeon,Ahn Yong Han,Kim Heejung

Abstract

Abstract Background Construction workers working in physically and mentally challenging environments experience high levels of occupational fatigue, which is the primary cause of industrial accidents and illnesses. Therefore, it is very important to measure fatigue in real time to manage the safety and health of construction workers. This study presents a novel approach for simultaneously measuring the subjective and objective fatigue of construction workers using ecological momentary assessment (EMA) and smartwatches. Due to the complexity and diversity of construction site environments, it is necessary to examine whether data collection using smartwatches is suitable in actual construction sites. This study aims to examine the feasibility of the integrated fatigue measurement method. Methods This study comprised two phases: (1) development of an integrated fatigue measurement system for construction workers, and (2) a validation study to evaluate the method’s feasibility based on sensor data acquisition, EMA compliance, and feedback from construction workers in the field (N = 80). Three days of biometric data were collected through sensors embedded in the smartwatches for objective fatigue measurement, including heart rate, accelerometer, and gyroscope data. Two types of self-reported data regarding each worker’s fatigue were collected through a researcher-developed EMA application. The acceptability and usability of this system were examined based on the researchers’ observations and unstructured interviews. Results Based on the standardized self-report questionnaire scores, participants were classified into high (n = 35, 43.75%) and low (n = 45, 56.25%) fatigue groups for comparison. The quantitative outcomes did not show a statistically significant difference between the two fatigue groups. Both groups experienced positive emotions and were able to recognize their health condition at the time of self-reporting, but stated that responding to this measurement system could be burdensome. Conclusions This feasibility study provides a unique understanding of the applications of EMA and smartwatches for safety management in the construction workforce. The developed measurement system shows potential for monitoring fatigue based on the real-time collection of relevant data. It is expected that by expanding this integrated system through further research and onsite application, the health and safety of construction workers can be improved.

Funder

Korea Agency for Infrastructure Technology Advancement(KAIA) / Ministry of Land, Infrastructure and Transport

College of Nursing, Yonsei University

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health

Reference49 articles.

1. Fang DP, Jiang ZM, Zhang MZ, Wang H. An experimental method to study the effect of fatigue on construction workers’ safety performance. Saf Sci. 2015;73:80–91.

2. Gatti UC, Schneider S, Migliaccio GC. Physiological condition monitoring of construction workers. Automat Constr. 2014;44:227–33.

3. Techera U, Hallowell M, Stambaugh N, Littlejohn R. Causes and consequences of occupational fatigue: meta-analysis and systems model. J Occup Environ Med. 2016;58(10):961–73.

4. US Bureau of Labor Statistics. Census of Fatal Occupational Injuries Summary, 2019. 2020. https://www.bls.gov/news.release/cfoi.nr0.htm. Accessed 28 Sept 2021.

5. US Bureau of Labor Statistics. Employer-Reported Workplace Injuries and Illnesses, 2020. 2021. https://www.bls.gov/news.release/osh.nr0.htm. Accessed 10 Jan 2022.

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Wearables for Well-Being: A Longitudinal in Situ Study of Smartwatches to Understand and Enhance Line-Level Housekeeping Work;International Journal of Human–Computer Interaction;2024-03-15

2. Electronic performance monitoring framework to quantify unhealthy and unsafe on-site behaviours;Procedia Computer Science;2024

3. Scoping Review on Measurement Tool for Work Fatigue;SHS Web of Conferences;2024

4. Comparative Evaluation of Touch-Based Input Techniques for Experience Sampling on Smartwatches;Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia;2023-12-03

5. Risk Factors of Unsafe Behavior among Construction Workers;Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan;2023-08-30

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3